Position: Sr. Data Analyst - healthcare
Location: Buffalo, NY
Duration: 6+ months
Our client is looking for good data Analyst who can start quick. Excellent communication skills.
Strong understanding of data structures and analysis.
Ensuring requirements around the accuracy, quality, completeness and timeliness of data are captured and understood. They work hand in hand with Data Modelers, Data Developers, Data Stewards and Business SMEs to ensure the customer’s data needs are accurately captured, understood and delivered.
Develop the specifications for data analysis and design and ensure the quality of the data specifications delivered to developers.
Translating the data requirements into specifications for development
Performing detailed analysis, identifying trends and patterns in data
Performing root cause analysis on data anomalies and working data stewards to resolve issues.
Facilitating review sessions with business users and other team members
Providing estimates for work efforts on projects
Development of best practices, guidelines and standards for Data Integration COE
Knowledge of structured data, such as entities, classes, hierarchies, relationships and metadata.
Knowledge of database management system (DBMS) physical implementation, including tables, joins, relationships, views, etc.
Ability to combine data from multiple sources when needed for the analysis
Data Quality & Profiling
Knowledge and experience with Data Governance processes
Writing functional/mapping specifications for extracts and reports
Familiarity with the use cases, business purposes and quality of the data.
Excellent communication and interpersonal skills.
Critical thinking capabilities
Informatica Data Analyst data analysis, Data Explorer, and profiling tools
DB2, Sybase, SQL Server, MS Access. Query Tools such as AQT, TOAD, etc
Designing the data integration solutions for Health Care Analytics
Meeting with Business SME to determine / document business rules and requirements
Analyzing existing system documentation to understand the data requirements
Profiling the data to verify the data matches the use defined in the business requirements
Developing the mapping specifications and use cases based on the business rules
Ensure the solution follows data integration and best practices
Determine how to import and transform the data to fit the data architecture
Specifying rules for cleansing the data according to data quality policies to ensure that the data delivered to the business follows corporate and regulatory policies
Work with QA team to ensure that use cases have been understood in order to build appropriate test cases
Must have HealthCare background
Create mapping documents for ETL developers to develop from
Understand how Data Warehouses are laid out
Understand the changes required
Do analysis on what is working and what is not working
Understand the data from source to destination and the business logic behind it
Use analysis tool to look at data coming in from different sources (i.e. flat files from DB’s)